ECON 2504 - Intermediate Econometrics II

North Terrace Campus - Summer - 2018

This course provides an introduction to the econometric techniques used to analyse data sets in economics, business and finance. It builds on basic statistics, inference and regression as covered in introductory statistics courses but does not include time series econometrics. The focus is on understanding the methods involved, using statistical software to provide the results and then interpreting and commenting on these results. The course reviews basic statistics, regression and inference, and then introduces multiple regression analysis, which remains the most commonly used statistical technique in econometrics. The remainder of the course considers various practical aspects of linear regression models and may include dummy variables, different functional forms and the consequences of violation of the classical regression assumptions.

  • General Course Information
    Course Details
    Course Code ECON 2504
    Course Intermediate Econometrics II
    Coordinating Unit School of Economics
    Term Summer
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 3 hours per week. Intensive (up to 6 hours per week) in Summer Semester.
    Available for Study Abroad and Exchange Y
    Prerequisites ECON 1008 or ECON 1011 or STATS 1000 or equivalent
    Assumed Knowledge Maths as taught in ECON 1005; and ECON 1000 and ECON 1004, or ECON 1012
    Restrictions Not suitable for BCompSc, BCompGr or BEng(Software Engineering) students
    Course Description This course provides an introduction to the econometric techniques used to analyse data sets in economics, business and finance. It builds on basic statistics, inference and regression as covered in introductory statistics courses but does not include time series econometrics. The focus is on understanding the methods involved, using statistical software to provide the results and then interpreting and commenting on these results. The course reviews basic statistics, regression and inference, and then introduces multiple regression analysis, which remains the most commonly used statistical technique in econometrics. The remainder of the course considers various practical aspects of linear regression models and may include dummy variables, different functional forms and the consequences of violation of the classical regression assumptions.
    Course Staff

    Course Coordinator: Patricia Sourdin

    Summer School and Semester 2
    Course Coordinator: Dr Patricia Sourdin
    Office hours: TBA
    Office location: TBA
    Telephone: TBA

    Semester 1  
    Course Coordinator: Dr Nadya Baryshnikova
    Email: nadezhda.baryshnikova@adelaide.edu.au
    Office hours: TBA
    Office location: Nexus 10, Level 4, Room 4.04
    Telephone: 8313 4821
    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • Learning Outcomes
    Course Learning Outcomes

    On successful completion of this course, students will be able to:

    1. Conduct basic statistical and econometric analysis.
    2. Explain and interpret econometric results.
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    1,2
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    1,2
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    1,2
  • Learning Resources
    Required Resources

    TEXT BOOK
    The required textbook is Principles of Econometrics, 5th Edition, Wiley by R. Carter Hill, William E. Griffiths and Guay C. Lim.

    Recommended Resources

    The recommended book to accompany the required text is Using Stata for Principles of Econometrics, 4th Edition, by Adkins and Hill.

    Online Learning

    Extensive use is made of MyUni; please check the announcements regularly. Lecture notes, practical questions, and past exam paper solutions will be made available on MyUni.

    There is a discussion board on MyUni; this is the preferred way for students to ask questions because this way all students have the same information and any of the staff can reply, allowing for quicker responses.

  • Learning & Teaching Activities
    Learning & Teaching Modes

    Classes will meet three times a week: twice for a 2-hour lecture and once for a 2-hour tutorial.

    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    Weekly assignments are issued each week. The assignments are not graded, but as class participation, students may (mostly likely will) be asked to present their solutions during tutorial discussion.  

    Learning Activities Summary
    Teaching & Learning Activities Related Learning Outcomes
    Lectures 1,2


    TENTATIVE LECTURE SCHEDULE (subject to change)

    Topics Title Chapters
    Topic 1 Introduction to Econometrics Chapter 1 (HGL)
    Topic 2 Introduction to Basic Statistics and Probability  Probability Primer
    Topic 3 The Simple Linear Regression Model Chapter 2
    Topic 4 Interval Estimation and Hypothesis Testing Chapter 3
    Topic 5 Prediction, Goodness of Fit and Modeling Issues Chapter 4
    Topic 6 The Multiple Linear Regression Model Chapter 5
    Topic 7 Further Inference in the Multiple Regression Model Chapter 6
    Topic 8 Using Indicator Variables Chapter 7
    Topic 9 Heteoskedasticity Chapter 8


    Specific Course Requirements

    Homework completion may require access to STATA. If you do not have STATA at home, you may use the computer labs on campus. Please refer to http://www.adelaide.edu.au/its/student_support/labs/ for further details.

    For course related questions, students are encouraged to utilise the designated office hours of the lecturer. Questions over the telephone are strongly discouraged.

  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary

    Students will be assessed based on the following criteria:

    Assessment Task Due Weighting Learning Outcome
    Class participation

    Weekly

    10% TBA
    Mid-term test TBA 30% TBA
    Final examination TBA 60% TBA

                                                  

    Assessment Related Requirements
    Attendance in class and tutorials is required.
    Assessment Detail

    Tutorials will involve Stata exercises to be completed in class. Class participation is worth 10% of overall assessment and involves attendance at tutorials and workshops and completion and hand up of the assigned material each week. The material is not graded but must be handed up at the end of each tutorial/workshop.
    Note that supplementary test or examination will not be given to replace the missed ones. Unless there are valid reasons and proper
    documentation, a missed test or examination will be graded 0.

    Submission
    Submission of the assignments is required weekly at the end of each tutorial.
    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

    Additional Assessment
    If a student receives 45-49 for their final mark for the course they will automatically be granted an additional assessment. This will most likely be in the form of a new exam (Additional Assessment) and will have
    the same weight as the original exam unless an alternative requirement (for example a hurdle requirement) is stated in this semester’s Course Outline. If, after replacing the original exam mark with the new exam
    mark, it is calculated that the student has passed the course, they will receive 50 Pass as their final result for the course (no higher) but if the calculation totals less than 50, their grade will be Fail and
    the higher of the original mark or the mark following the Additional Assessment will be recorded as the final result.
  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.